Slurry flow modelling by CFD

An attempt has been made in the present study to develop a generalized slurry flow model using CFD and utilize the model to predict concentration profile. The purpose of the CFD model is to gain better insight into the solid liquid slurry flow in pipelines. Initially a three-dimensional model problem was developed to understand the influence of the particle drag coefficient on the solid concentration profile. The preliminary simulations highlighted the need for correct modelling of the inter phase drag force. The various drag correlations available in the literature were incorporated into a two-fluid model (Euler-Euler) along with the standard k-e turbulence model with mixture properties to simulate the turbulent solid-liquid flow in a pipeline. The computational model was mapped on to a commercial CFD solver FLUENT6.2 (of Fluent Inc., USA). To push the envelope of applicability of the simulation, recent data from Kaushal (2005) (with solid concentration up to 50%) was selected to validate the three dimensional simulations. The experimental data consisted of water-glass bead slurry at 125 and 440-micron particle with different flow velocity (from 1 to 5 m/s) and overall concentration up to 10 to 50% by volume. The predicted pressure drop and concentration profile were validated by experimental data and showed excellent agreement. Interesting findings came out from the parametric study of velocity and concentration profiles. The computational model and results discussed in this work would be useful for extending the applications of CFD models for simulating large slurry pipelines.

• Publication year

  2010

• Venue

  Chemical Industry & Chemical Engineering Quarterly

• Publication date

  Unknown publication date

• Fields of study

  Chemistry, Engineering, Environmental Science

• Identifiers
  DOI 10.2298/CICEQ091030031L
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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